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In the present paper, we generalize these functions to a larger class of elements of PSL2(Z), and explore some of the properties of these maps

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Bull. Korean Math. Soc. 50 (2013), No. 2, pp. 601–610 http://dx.doi.org/10.4134/BKMS.2013.50.2.601

A CLASS OF ARITHMETIC FUNCTIONS ON PSL2(Z)

Paul Spiegelhalter and Alexandru Zaharescu

Abstract. In [3] and [2], Atanassov introduced the two arithmetic func- tions

I(n) = Y

pα||n

p1/α and R(n) = Y

pα||n

pα−1

called the irrational factor and the restrictive factor, respectively. Alkan, Ledoan, Panaitopol, and the authors explore properties of these arith- metic functions in [1], [7], [8] and [9]. In the present paper, we generalize these functions to a larger class of elements of PSL2(Z), and explore some of the properties of these maps.

1. Introduction

In [3] and [2], Atanassov introduced the two arithmetic functions I(n) = Y

pα||n

p1/α and R(n) = Y

pα||n

pα−1

called the irrational factor and the strong restrictive factor, respectively. These functions are multiplicative, and satisfy the inequality

I(n)R(n)2≥ n,

with equality if and only if n is squarefree. In [8], Panaitopol showed that X

n=1

1

I(n)R(n)φ(n) < e2, and proved that the function

G(n) = Yn ν=1

I(ν)1/n satisfies the inequalities

e−7n < G(n) < n.

Received December 4, 2011.

2010 Mathematics Subject Classification. Primary 11N37; Secondary 11B57.

Key words and phrases. PSL2(Z), Farey fractions, Dirichlet series.

The second author is supported in part by NSF grant DMS-0901621.

2013 The Korean Mathematical Societyc 601

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In [1], Alkan, Ledoan and one of the authors describe a precise asymptotic for the function G(n), and establish further results showing that the function I(n) is very regular on average.

In [7], asymptotic formulas are established for certain weighted real moments of the restrictive factor R(n). In [9], the authors establish asymptotic formulas for weighted combinations I(n)αR(n)β.

In the present paper we consider for a matrix A =

 a b c d



in PSL2(Z) the fractional linear transformation Az given by Az = az + b

cz + d. For each positive integer n, define

fA(n) = Y

pα||n

paα+bcα+d.

As an example, the function I(n) is equal to fA0(n) for A0=

 0 1 1 0

 .

We shall consider weighted averages of the functions fA(n). Let MA(x) = 1

x X

n≤x

1 −n x

fA(n).

Consider the subset A ⊂ PSL2(Z) given by A =

 A =

 a b c d



∈ PSL2(Z) : det A = −1, a, b, d ≥ 0, c ≥ 1

 . Define for each positive rational number r

Er= {A ∈ A : MA(x) ≍ xr as x → ∞}.

Note that if r1 6= r2, then Er1 ∩ Er2 = Ø. We will prove that each Er with r > 0 consists of exactly one element.

For each matrix A in A we define the associated series (An)n∈Nby An = An =an + b

cn + d.

As we shall see, the associated series plays an important role in our computa- tions. Clearly, if A ∈ A, then An is monotone decreasing and has the finite limit A:= a/c.

We have the following result.

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Theorem 1.1. Given A ∈ A, if A1 > 0, then there are positive real-valued constants KA andc such that

MA(x) = KAxA1+ OA

xA1−1/2exp{−c(log x)3/5(log log x)−1/5} . We remark that under the Riemann hypothesis, for a restricted class of matrices one has an asymptotic formula for the error term in Theorem 1.1 of the form

(1) MA(x) − KAxA1∼ eKAx12(A2−1)

for a real-valued constant eKA. This naturally leads one to consider the maps ψj : A → Q+ for j = 1, 2 given by

(2) ψj(A) = Aj.

Since, as mentioned above, each Er consists of exactly one element, it follows that there is a well-defined map s : Q+→ Q+given by

(3) s(r) = ψ2◦ ψ−11 (r).

The map s(r) tells us how accurately the main term KAxA1 approximates MA(x) in (1), in the sense that it gives the exact order of magnitude of the error MA(x) − KAxA1.

Although it can be shown that this map is nowhere continuous, one can obtain asymptotic formulas for the average value of s(r), with r in various ranges. For example, define the height function for each rational r = p/q with q ≥ 1 and (p, q) = 1 by

h(r) := max{|p|, |q|}.

We have the following result.

Theorem 1.2. For any δ > 0, X

r∈Q+∩[0,1]

h(r)≤X

s(r) = 3

2X2+ Oδ(X11/6+δ).

2. Asymptotics of the average Consider the Dirichlet series

FA(s) = X n=1

fA(n) ns .

We will take advantage of the meromorphic continuation of FA(s) in the case where det A = −1.

Proof of Theorem 1.1. We prove the result with

KA= 1

(1 + A1)(2 + A1)ζ(2)TA(1 + A1).

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If det A = −1, then p≤ pA1 for all α ≥ 1, so fA(n) ≤ nA1, hence FA(s) converges in the half plane ℜs = σ > 1 + A1. Moreover, FA(s) has an Euler product in that region. Write

FA(s) = ζ(s − A1) ζ(2s − 2A1)

Y

p

(1 + gp(s)) ,

where

gp(s) =

 1 + pA1

ps

−1 ∞X

k=2

pAk pks.

Note that if det(A) = −1, then A1− A2 = (c+d)(2c+d)112. Take ǫ > 0. For σ ≥ A1+ ǫ we have

 1 + pA1

ps

−1

ǫ1.

Also, for σ ≥ 12(1 + A2+ ǫ) we have X k=2

pAk pks ≪ pA2

p2sǫ 1 p1+ǫ. Thus for σ ≥ max{A1+ ǫ,12(1 + A2+ ǫ)} the sumP

p|gp(s)| converges, hence TA(s) =Y

p

(1 + gp(s))

is analytic for σ > σ0= max

A1,12(1 + A2)

, so FA(s) is meromorphic there, with a poles at s = 1 + A1.

To continue, we utilize a variant of Perron’s formula and write X

n≤x

1 − n x

fA(n) = 1 2πi

Z c+i∞

c−i∞

ζ(s − A1)

ζ(2s − 2A1)TA(s) xs s(s + 1)ds, where 1 + A1< c ≤ 5/4 + A1.

We apply the zero-free region for ζ(s) due to Korobov [6] and Vinogradov [12] (see Chapters 2 and 5 of the reference by Walfisz [13] for an alternative treatment)

σ ≥ 1 − c0(log t)−2/3(log log t)−1/3 for t ≥ t0, in which

1

|ζ(s)| ≪ (log t)2/3(log log t)1/3. Fix 0 < U < T ≤ x, let ν = 1/2 + A1 and

η = ν − c0(log U )−2/3(log log U )−1/3.

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Deform the path of integration into the union of the line segments















γ1, γ9: s = c + it if |t| ≥ T γ2, γ8: s = σ ± iT if ν ≤ σ ≤ c γ3, γ7: s = ν + it if U ≤ |t| ≤ T γ4, γ6: s = σ ± iU if η ≤ σ ≤ ν γ5: s = η + it if |t| ≤ U.

The integrand is analytic on and within this modified contour, hence by Cauchy’s theorem

xMA(x) = 1

(1 + A1)(2 + A1)ζ(2)TA(1 + A1)x1+A1+ X9 k=1

Jk,

with the main terms coming from the residue at the simple pole at s = 1 + A1. In order to estimate the integral along our modified contour we will make use of the bounds

|ζ(σ + it)| =





O(t(1−σ)/2, if 0 ≤ σ ≤ 1 and |t| ≥ 1 O(log t), if 1 ≤ σ ≤ 2

O(1), if σ ≥ 2 (see [11], §3.11 and §5.1).

On the line segments on which s = c + it, |t| ≥ T , we have that ζ(s − A1) ≪ log t and 1/ζ(2s − 2A1) ≪ log t, so

|J1|, |J9| ≪ Z

T

(log t)2 xc

|(c + it)(c + 1 + it)|dt

≪ xc(log T )2

T .

On the line segments on which s = σ + iT , ν ≤ σ ≤ c, we have that 1/ζ(2s − 2A1) ≪ log T , ζ(s − A1) ≪ T(1−σ+A1)/2 for ν ≤ σ ≤ 1 + A1, and ζ(s − A1) ≪ log T for 1 + A1≤ σ ≤ c. So

|J2|, |J8| ≪

Z 1+A1

ν

T12(1−σ+A1)log Txσ T2dσ +

Z c 1+A1

(log T )2xσ T2

≪ T12(1+A1)log T maxn  x

√T

ν

,

 x

√T

1+A1o

+(log T )2 T2 xc. On the line segments on which s = ν + it, U ≤ |t| ≤ T , we have that ζ(s − A1) ≪ t(1−ν+A1)/2 and 1/ζ(2s − 2A1) ≪ log t, so

|J3|, |J7| ≪ Z T

U

(log t)t12(1−ν+A1) xν

|(ν + it)(ν + 1 + it)|dt

≪ log T U3/4xν.

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On the line segments on which s = σ +iU , η ≤ σ ≤ ν, we have that ζ(s−A1) ≪ U(1−σ+A1)/2 and 1/ζ(2s − 2A1) ≪ log U, so

|J4|, |J6| ≪ Z ν

η

(log U )U12(1−σ+A1)xσ U2

≪ U12(1+A1)−2log U maxn  x

√U

ν

,

 x

√U

ηo .

On the line segment on which s = η + it, |t| ≤ U, we have that ζ(s − A1) ≪ (|t| + 1)(1−η+A1)/2and 1/ζ(2s − 2A1) ≪ log(|t| + 1), so

|J5| ≪ Z U

−U(|t| + 1)1−η+A1log(|t| + 1) xη

|η + it||η + 1 + it| dt

≪ xη Z U

−U(|t| + 1)12(1−η+A1)−2log(|t| + 1) dt.

Since 12(1 − η + A1) − 2 ≤ −32 for U sufficiently large, the above integral converges, hence |J5| ≪ xη.

We collect all estimates, and take T = x2 and

U = exp{c2(log x)3/5(log log x)−1/5}

to obtain the desired result. 

One could instead factor

 1 + pA1

ps +pA2 p2s +pA3

p3s + · · ·



=

 1 +pA1

ps

  1 +pA2

p2s



(1 + gp(s)) with

gp(s) =

 1 + pA1

ps

−1 1 + pA2

p2s

−1

−pA1+A2 p3s +

X k=3

pAk pks

!

so that

FA(s) = ζ(s − A1) ζ(2s − 2A1)

ζ(2s − A2) ζ(4s − 2A2)

Y

p

(1 + gp(s)) .

Under the Riemann hypothesis, we get a second order term of the form eKAxA2 in the asymptotic formula for FA(s) provided that 14+ A1< 12(1 + A2). That is, provided that

a + b < c + d

2 − 1

2c + d.

This occurs for matrices A in A with restrictions on c and d. One can see that A1will lie in the interval (0, 1/2).

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3. Mapping through PSL2(Z) We now return to the two maps ψ1 and ψ2defined in (2).

Lemma 3.1. The map ψ1 is bijective.

Proof. For pq ∈ Q+, consider the set of matrixes A =

 a b c d



in A such that ψ1(A) = pq. We note that any such quadruple (a, b, c, d) is constrained by c ≥ 0, d ≥ 0,

(4) ad − bc = −1

and

(5) c + d = q

p(a + b)

(Note that (4) implies that p cannot be zero). By (5) we have c = q

p(a + b) − d.

Inserting this into (4) gives us

ad − b(a + b)q

p+ bd = −1 so

(a + b)(pd − qb) = −p.

Write a + b = ±n for some positive integer n | p. By (5) we have c + d =

q

p(±n) ∈ Z so p | n, hence p = n.

There are two cases: If a + b = −p, then c + d = −q. This contradicts the assumptions that q ≥ 1 and c and d are non-negative. On the other hand, if a + b = p, then c + d = q, so (4) gives us

a(q − c) − bc = −1 so

(6) pc = 1 + aq.

So c is uniquely determined by cp ≡ 1 (mod q) and 1 ≤ c < q. Then d is uniquely determined by d = q − c, and a and b by a = 1−pcq and b = p − a.  In the case where p/q ∈ (0, 1], we identify p/q as an element of FQ, the Farey fractions of order Q, with Q ≥ q. If we consider the “minimal” set of Farey fractions Fq containing p/q, then elementary properties of Farey fractions (see for example Chapter 3 of [5]) give that the adjacent Farey fractions p/q <

p/q < p′′/q′′ satisfy q = ¯p, p = ¯q, p′′= p − ¯q and q′′ = q − ¯p. Here ¯p is the

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unique integer 1 ≤ ¯p < q satisfying p¯p ≡ 1 (mod q) and ¯q is the unique integer 1 ≤ ¯q < p satisfying q¯q ≡ 1 (mod p). We can write

ψ1(p/q) =

 q¯ p − ¯q

¯ p q − ¯p

 .

That is, the matrix ψ1(p/q) is comprised of the “parent” Farey fractions in Fq−1.

Additionally, we can write the function s(p/q) from (3) uniquely as

(7) s(p/q) = pp − 1 + pq¯

q(¯p + q) .

To prove Theorem 1.2, we will use the following result (see Lemma 2.3 of [4]).

Lemma 3.2. Assume that q ≥ 1 and h are two given integers, I and J are intervals of length less than q, and f : I × J → R is a C1 function. Then for any integer T ≥ 1 and any δ > 0

X

a∈I,b∈J ab≡h (mod q)

gcd(a,b)=1

f (a, b) = φ(q) q2

ZZ

I×Jf (x, y)dxdy + E,

with

E ≪δ T2kfkq1/2+δgcd(h, q)1/2

+ T k∇fkq3/2+δgcd(h, q)1/2+k∇fk|I||J |

T ,

wherekfk andk∇fkdenote the sup-norm off and respectively |∂f∂x| + |∂f∂y| on I × J .

Proof of Theorem 1.2. Let Q = ⌊X⌋. Since r ∈ FQ we have X

r∈Q+∩[0,1]

h(r)≤X

s(r) = X

1≤q≤Q 1≤p<q (p,q)=1

s(p/q).

We use (7) and Lemma 3.2 with T = q16δ3 to get that the right-hand sum is equal to

X

1≤q≤Q

X

1≤p<q 1≤ ¯p<q p ¯p≡1 (mod q)

(p,q)=1

pp − 1 + pq¯

q(¯p + q) = X

1≤q≤Q

φ(q) q2

Z Z

[1,q)2

vu − 1 + uq

q(v + q) dudv + E

= X

1≤q≤Q

φ(q) Z Z

[1/q,1]2

xy − q12 + x

y + 1 dxdy + E.

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where E ≪δ q5/6+δ. The integral is equal to 1

2

 1 − 1

q2

  1 −1

q



−q − 1 q3



log 2 − log

 1 + 1

q



= 1 2+ O

1 q



so X

r∈Q+∩[0,1]

h(r)≤X

s(r) = 1 2

X

1≤q≤Q

φ(q) + O

 X

1≤q≤Q

φ(q) q

 + O

 X

1≤q≤Q

q5/6+δ

 .

One can use the methods of Section 2 to estimate the sums over φ(q), or use partial summation along with standard estimates (see for example [13] or Chapter 18 of [5]). This gives the main term of our theorem; the first error term above is O(X), and the second is Oδ(X11/6+δ). 

References

[1] E. Alkan, A. H. Ledoan, and A. Zaharescu, Asymptotic behavior of the irrational factor, Acta Math. Hungar. 121 (2008), no. 3, 293–305.

[2] K. T. Atanassov, Restrictive factor: definition, properties and problems, Notes Number Theory Discrete Math. 8 (2002), no. 4, 117–119.

[3] , Irrational factor: definition, properties and problems, Notes Number Theory Discrete Math. 2 (1996), no. 3, 42–44.

[4] F. Boca and R. Gologan, On the distribution of the free path length of the linear flow in a honeycomb, Ann. Inst. Fourier (Grenoble) 59 (2009), no. 3, 1043–1075.

[5] G. H. Hardy and E. M. Wright, An Introduction to the Theory of Numbers, Sixth, Revised by D. R. Heath-Brown and J. H. Silverman, With a foreword by Andrew Wiles, Oxford University Press, Oxford, 2008.

[6] N. M. Korobov, Estimates of trigonometric sums and their applications, Uspehi Mat.

Nauk 13 (1958), no. 4, 185–192.

[7] A. Ledoan and A. Zaharescu, Real moments of the restrictive factor, Proc. Indian Acad.

Sci. Math. Sci. 119 (2009), no. 4, 559–566.

[8] L. Panaitopol, Properties of the Atanassov functions, Adv. Stud. Contemp. Math.

(Kyungshang) 8 (2004), no. 1, 55–58.

[9] P. Spiegelhalter and A. Zaharescu, Strong and weak Atanassov pairs, Proc. Jangjeon Math. Soc. 14 (2011), no. 3, 355–361.

[10] E. C. Titchmarsh, The Theory of Functions, Oxford University Press, London, 1939.

[11] , The theory of the Riemann zeta-function, Edited and with a preface by D. R.

Heath-Brown, The Clarendon Press Oxford University Press, New York, 1986.

[12] I. M. Vinogradov, A new estimate of the function ζ(1 + it), Izv. Akad. Nauk SSSR. Ser.

Mat. 22 (1958), 161–164.

[13] A. Walfisz, Weylsche Exponentialsummen in der neueren Zahlentheorie, VEB Deutsche Verlag der Wissenschaften, Berlin, 1963.

Paul Spiegelhalter

Department of Mathematics University of Illinois

1409 West Green Street, Urbana, IL 61801, USA E-mail address: [email protected]

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Alexandru Zaharescu Department of Mathematics University of Illinois

1409 West Green Street, Urbana, IL 61801, USA E-mail address: [email protected]

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